| K-mean alignment for curve clustering LM Sangalli, P Secchi, S Vantini, V Vitelli Computational Statistics & Data Analysis 54 (5), 1219-1233, 2010 | 219 | 2010 |
| The Evans’ Index revisited: new cut-off levels for use in radiological assessment of ventricular enlargement in the elderly MK Brix, E Westman, A Simmons, GA Ringstad, PK Eide, ... European journal of radiology 95, 28-32, 2017 | 180 | 2017 |
| Multivariate functional clustering for the morphological analysis of electrocardiograph curves F Ieva, AM Paganoni, D Pigoli, V Vitelli Journal of the Royal Statistical Society Series C: Applied Statistics 62 (3 …, 2013 | 154* | 2013 |
| Molecular features of subtype-specific progression from ductal carcinoma in situ to invasive breast cancer R Lesurf, MR Aure, HH Mørk, V Vitelli, T Sauer, J Geisler, S Hofvind, ... Cell reports 16 (4), 1166-1179, 2016 | 121 | 2016 |
| Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome MR Aure, V Vitelli, S Jernström, S Kumar, M Krohn, EU Due, TH Haukaas, ... Breast Cancer Research 19 (1), 44, 2017 | 120 | 2017 |
| Nuclear power plant components condition monitoring by probabilistic support vector machine J Liu, R Seraoui, V Vitelli, E Zio Annals of Nuclear Energy 56, 23-33, 2013 | 119 | 2013 |
| Probabilistic preference learning with the Mallows rank model V Vitelli, Ø Sørensen, M Crispino, A Frigessi, E Arjas Journal of Machine Learning Research 18 (158), 1-49, 2018 | 107 | 2018 |
| An interval-valued neural network approach for uncertainty quantification in short-term wind speed prediction R Ak, V Vitelli, E Zio IEEE transactions on neural networks and learning systems 26 (11), 2787-2800, 2015 | 103 | 2015 |
| A novel dynamic-weighted probabilistic support vector regression-based ensemble for prognostics of time series data J Liu, V Vitelli, E Zio, R Seraoui IEEE Transactions on Reliability 64 (4), 1203-1213, 2015 | 85 | 2015 |
| NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment R Ak, Y Li, V Vitelli, E Zio, EL Droguett, CMC Jacinto Expert Systems with Applications 40 (4), 1205-1212, 2013 | 83 | 2013 |
| Utility of tear osmolarity measurement in diagnosis of dry eye disease B Tashbayev, TP Utheim, ØA Utheim, S Ræder, JL Jensen, M Yazdani, ... Scientific Reports 10 (1), 5542, 2020 | 65 | 2020 |
| Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load R Ak, YF Li, V Vitelli, E Zio International Journal of Electrical Power & Energy Systems 95, 213-226, 2018 | 65 | 2018 |
| A cumulative genetic risk score predicts progression in P arkinson's disease L Pihlstrøm, KR Morset, E Grimstad, V Vitelli, M Toft Movement Disorders 31 (4), 487-490, 2016 | 63 | 2016 |
| Bagging Voronoi classifiers for clustering spatial functional data P Secchi, S Vantini, V Vitelli International journal of applied earth observation and geoinformation 22, 53-64, 2013 | 63 | 2013 |
| Altered neuroendocrine control and association to clinical symptoms in adolescent chronic fatigue syndrome: a cross-sectional study V Bruun Wyller, V Vitelli, D Sulheim, E Fagermoen, A Winger, K Godang, ... Journal of Translational Medicine 14 (121), 2016 | 53 | 2016 |
| Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan P Secchi, S Vantini, V Vitelli Statistical Methods & Applications 24 (2), 279-300, 2015 | 52 | 2015 |
| Functional clustering and alignment methods with applications LM Sangalli, P Secchi, S Vantini, V Vitelli Communications in Applied and Industrial Mathematics 1 (1), 205-224, 2010 | 48 | 2010 |
| Treelet decomposition of mobile phone data for deriving city usage and mobility pattern in the Milan urban region F Manfredini, P Pucci, P Secchi, P Tagliolato, S Vantini, V Vitelli Advances in complex data modeling and computational methods in statistics …, 2014 | 43 | 2014 |
| Sparse clustering of functional data D Floriello, V Vitelli Journal of Multivariate Analysis 154, 1-18, 2017 | 42 | 2017 |
| Model-based learning from preference data Q Liu, M Crispino, I Scheel, V Vitelli, A Frigessi Annual review of statistics and its application 6 (1), 329-354, 2019 | 38 | 2019 |
Simone VantiniAssociate Professor of Statistics, MOX - Department of Mathematics, Politecnico di MilanoVerified email at polimi.it
